from sklearn_benchmarks.report import Reporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = Reporting(config_file_path="config.yml")
reporting.run()
| hour | min | sec | |
|---|---|---|---|
| algo | |||
| KNeighborsClassifier | 0.0 | 13.0 | 37.108335 |
| daal4py_KNeighborsClassifier | 0.0 | 3.0 | 1.269906 |
| KNeighborsClassifier_kd_tree | 0.0 | 6.0 | 22.975005 |
| daal4py_KNeighborsClassifier_kd_tree | 0.0 | 1.0 | 37.430558 |
| KMeans | 0.0 | 8.0 | 30.584936 |
| daal4py_KMeans | 0.0 | 5.0 | 5.056299 |
| LogisticRegression | 0.0 | 1.0 | 0.553388 |
| daal4py_LogisticRegression | 0.0 | 0.0 | 53.085344 |
| Ridge | 0.0 | 0.0 | 0.874731 |
| daal4py_Ridge | 0.0 | 0.0 | 0.588904 |
| total | 0.0 | 40.0 | 9.587446 |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_daal4py | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier | fit | 0.139 | 0.002 | 1000000 | 1000000 | 100 | brute | -1 | 1 | NaN | NaN | 0.492 | 0.002 | 0.283 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_e70d8e7886766d41f30889506baa1e67_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 1 | KNeighborsClassifier | predict | 0.195 | 0.018 | 1000000 | 1 | 100 | brute | -1 | 1 | 1.0 | 1.0 | 0.092 | 0.001 | 2.119 | 0.008 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 2 | KNeighborsClassifier | predict | 26.961 | 0.657 | 1000000 | 1000 | 100 | brute | -1 | 1 | 1.0 | 1.0 | 1.708 | 0.010 | 15.786 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 3 | KNeighborsClassifier | fit | 0.142 | 0.003 | 1000000 | 1000000 | 100 | brute | -1 | 5 | NaN | NaN | 0.504 | 0.006 | 0.282 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_22d5eac4a4146149b35eae6914921514_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 4 | KNeighborsClassifier | predict | 0.194 | 0.014 | 1000000 | 1 | 100 | brute | -1 | 5 | 0.0 | 1.0 | 0.093 | 0.002 | 2.081 | 0.006 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 5 | KNeighborsClassifier | predict | 35.326 | 0.000 | 1000000 | 1000 | 100 | brute | -1 | 5 | 0.0 | 1.0 | 1.706 | 0.014 | 20.702 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 6 | KNeighborsClassifier | fit | 0.149 | 0.002 | 1000000 | 1000000 | 100 | brute | -1 | 100 | NaN | NaN | 0.491 | 0.003 | 0.303 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_2d5f2b2c02d77766434d9e5033b4a76c_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 7 | KNeighborsClassifier | predict | 0.182 | 0.011 | 1000000 | 1 | 100 | brute | -1 | 100 | 1.0 | 1.0 | 0.093 | 0.001 | 1.963 | 0.004 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 8 | KNeighborsClassifier | predict | 35.198 | 0.000 | 1000000 | 1000 | 100 | brute | -1 | 100 | 1.0 | 1.0 | 1.788 | 0.010 | 19.684 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 9 | KNeighborsClassifier | fit | 0.147 | 0.002 | 1000000 | 1000000 | 100 | brute | 1 | 1 | NaN | NaN | 0.493 | 0.003 | 0.299 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_b79d63bb7670c492de5c3befac58fe29_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 10 | KNeighborsClassifier | predict | 0.212 | 0.013 | 1000000 | 1 | 100 | brute | 1 | 1 | 1.0 | 1.0 | 0.092 | 0.001 | 2.305 | 0.004 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 11 | KNeighborsClassifier | predict | 13.540 | 0.081 | 1000000 | 1000 | 100 | brute | 1 | 1 | 1.0 | 1.0 | 1.707 | 0.021 | 7.930 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 12 | KNeighborsClassifier | fit | 0.147 | 0.002 | 1000000 | 1000000 | 100 | brute | 1 | 5 | NaN | NaN | 0.489 | 0.002 | 0.300 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_efac583623711d395ddae7a1e881ff68_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 13 | KNeighborsClassifier | predict | 0.216 | 0.001 | 1000000 | 1 | 100 | brute | 1 | 5 | 0.0 | 1.0 | 0.093 | 0.000 | 2.335 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 14 | KNeighborsClassifier | predict | 23.509 | 0.029 | 1000000 | 1000 | 100 | brute | 1 | 5 | 0.0 | 1.0 | 1.704 | 0.006 | 13.793 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 15 | KNeighborsClassifier | fit | 0.149 | 0.002 | 1000000 | 1000000 | 100 | brute | 1 | 100 | NaN | NaN | 0.491 | 0.004 | 0.303 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_16f94fc93942ff7ece860c9b0f64645f_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 16 | KNeighborsClassifier | predict | 0.221 | 0.003 | 1000000 | 1 | 100 | brute | 1 | 100 | 1.0 | 1.0 | 0.093 | 0.002 | 2.380 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 17 | KNeighborsClassifier | predict | 23.485 | 0.019 | 1000000 | 1000 | 100 | brute | 1 | 100 | 1.0 | 1.0 | 1.790 | 0.013 | 13.118 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_964dc780f08981ab8f879d1a097b8712.html'>See</a> |
| 18 | KNeighborsClassifier | fit | 0.055 | 0.001 | 1000000 | 1000000 | 2 | brute | -1 | 1 | NaN | NaN | 0.098 | 0.003 | 0.567 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_e70d8e7886766d41f30889506baa1e67_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 19 | KNeighborsClassifier | predict | 0.020 | 0.003 | 1000000 | 1 | 2 | brute | -1 | 1 | 1.0 | 1.0 | 0.005 | 0.001 | 3.792 | 0.029 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 20 | KNeighborsClassifier | predict | 22.931 | 0.050 | 1000000 | 1000 | 2 | brute | -1 | 1 | 1.0 | 1.0 | 0.259 | 0.002 | 88.435 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_e70d8e7886766d41f30889506baa1e67_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 21 | KNeighborsClassifier | fit | 0.057 | 0.001 | 1000000 | 1000000 | 2 | brute | -1 | 5 | NaN | NaN | 0.097 | 0.002 | 0.581 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_22d5eac4a4146149b35eae6914921514_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 22 | KNeighborsClassifier | predict | 0.024 | 0.002 | 1000000 | 1 | 2 | brute | -1 | 5 | 1.0 | 1.0 | 0.005 | 0.000 | 4.419 | 0.013 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 23 | KNeighborsClassifier | predict | 31.139 | 0.000 | 1000000 | 1000 | 2 | brute | -1 | 5 | 1.0 | 1.0 | 0.261 | 0.001 | 119.396 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_22d5eac4a4146149b35eae6914921514_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 24 | KNeighborsClassifier | fit | 0.056 | 0.001 | 1000000 | 1000000 | 2 | brute | -1 | 100 | NaN | NaN | 0.098 | 0.000 | 0.573 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_2d5f2b2c02d77766434d9e5033b4a76c_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 25 | KNeighborsClassifier | predict | 0.024 | 0.003 | 1000000 | 1 | 2 | brute | -1 | 100 | 1.0 | 1.0 | 0.005 | 0.000 | 4.473 | 0.020 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 26 | KNeighborsClassifier | predict | 31.176 | 0.000 | 1000000 | 1000 | 2 | brute | -1 | 100 | 1.0 | 1.0 | 0.307 | 0.001 | 101.468 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_2d5f2b2c02d77766434d9e5033b4a76c_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 27 | KNeighborsClassifier | fit | 0.064 | 0.003 | 1000000 | 1000000 | 2 | brute | 1 | 1 | NaN | NaN | 0.097 | 0.002 | 0.660 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_b79d63bb7670c492de5c3befac58fe29_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 28 | KNeighborsClassifier | predict | 0.016 | 0.001 | 1000000 | 1 | 2 | brute | 1 | 1 | 1.0 | 1.0 | 0.005 | 0.000 | 2.978 | 0.009 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 29 | KNeighborsClassifier | predict | 10.751 | 0.005 | 1000000 | 1000 | 2 | brute | 1 | 1 | 1.0 | 1.0 | 0.259 | 0.001 | 41.517 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_b79d63bb7670c492de5c3befac58fe29_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 30 | KNeighborsClassifier | fit | 0.065 | 0.002 | 1000000 | 1000000 | 2 | brute | 1 | 5 | NaN | NaN | 0.098 | 0.002 | 0.662 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_efac583623711d395ddae7a1e881ff68_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 31 | KNeighborsClassifier | predict | 0.018 | 0.001 | 1000000 | 1 | 2 | brute | 1 | 5 | 1.0 | 1.0 | 0.005 | 0.000 | 3.262 | 0.013 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 32 | KNeighborsClassifier | predict | 19.285 | 0.007 | 1000000 | 1000 | 2 | brute | 1 | 5 | 1.0 | 1.0 | 0.260 | 0.001 | 74.223 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_efac583623711d395ddae7a1e881ff68_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 33 | KNeighborsClassifier | fit | 0.064 | 0.002 | 1000000 | 1000000 | 2 | brute | 1 | 100 | NaN | NaN | 0.097 | 0.000 | 0.659 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_16f94fc93942ff7ece860c9b0f64645f_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 34 | KNeighborsClassifier | predict | 0.017 | 0.001 | 1000000 | 1 | 2 | brute | 1 | 100 | 1.0 | 1.0 | 0.005 | 0.001 | 3.271 | 0.013 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 35 | KNeighborsClassifier | predict | 19.296 | 0.005 | 1000000 | 1000 | 2 | brute | 1 | 100 | 1.0 | 1.0 | 0.307 | 0.002 | 62.758 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_16f94fc93942ff7ece860c9b0f64645f_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| algorithm | brute |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_daal4py | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 2.877 | 0.031 | 1000000 | 1000000 | 10 | kd_tree | -1 | 1 | NaN | NaN | 0.679 | 0.006 | 4.240 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_fe8267e25dadb302ed498e50fabf7ef4_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 1 | KNeighborsClassifier_kd_tree | predict | 0.003 | 0.001 | 1000000 | 1 | 10 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 7.583 | 0.388 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 2 | KNeighborsClassifier_kd_tree | predict | 0.435 | 0.006 | 1000000 | 1000 | 10 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.106 | 0.002 | 4.099 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 3 | KNeighborsClassifier_kd_tree | fit | 2.892 | 0.041 | 1000000 | 1000000 | 10 | kd_tree | -1 | 5 | NaN | NaN | 0.708 | 0.017 | 4.085 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_dc74b969bf622bc24ba3bc62c980983b_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 4 | KNeighborsClassifier_kd_tree | predict | 0.004 | 0.001 | 1000000 | 1 | 10 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 8.588 | 0.347 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 5 | KNeighborsClassifier_kd_tree | predict | 0.850 | 0.010 | 1000000 | 1000 | 10 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.193 | 0.003 | 4.408 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 6 | KNeighborsClassifier_kd_tree | fit | 2.902 | 0.011 | 1000000 | 1000000 | 10 | kd_tree | -1 | 100 | NaN | NaN | 0.680 | 0.012 | 4.265 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_022f7445d43bb1dbc24dc3106c03cb93_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 7 | KNeighborsClassifier_kd_tree | predict | 0.008 | 0.001 | 1000000 | 1 | 10 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.001 | 0.000 | 9.206 | 0.233 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 8 | KNeighborsClassifier_kd_tree | predict | 2.648 | 0.018 | 1000000 | 1000 | 10 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.579 | 0.008 | 4.573 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 9 | KNeighborsClassifier_kd_tree | fit | 2.870 | 0.036 | 1000000 | 1000000 | 10 | kd_tree | 1 | 1 | NaN | NaN | 0.714 | 0.012 | 4.017 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a9455565db1d8e052a783317c99744ff_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 10 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 10 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 3.865 | 0.304 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 11 | KNeighborsClassifier_kd_tree | predict | 0.731 | 0.011 | 1000000 | 1000 | 10 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.107 | 0.002 | 6.861 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 12 | KNeighborsClassifier_kd_tree | fit | 2.869 | 0.021 | 1000000 | 1000000 | 10 | kd_tree | 1 | 5 | NaN | NaN | 0.680 | 0.006 | 4.220 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_84622ba45e941db642965553529e1941_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 13 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.001 | 1000000 | 1 | 10 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 5.193 | 0.372 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 14 | KNeighborsClassifier_kd_tree | predict | 1.456 | 0.013 | 1000000 | 1000 | 10 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.194 | 0.003 | 7.516 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 15 | KNeighborsClassifier_kd_tree | fit | 2.897 | 0.036 | 1000000 | 1000000 | 10 | kd_tree | 1 | 100 | NaN | NaN | 0.712 | 0.016 | 4.070 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_41accfcdcd5c50784bedf6164b63de99_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 16 | KNeighborsClassifier_kd_tree | predict | 0.005 | 0.002 | 1000000 | 1 | 10 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.001 | 0.000 | 6.133 | 0.305 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 17 | KNeighborsClassifier_kd_tree | predict | 4.824 | 0.033 | 1000000 | 1000 | 10 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.574 | 0.006 | 8.399 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_a50039d54235261c3b50281d1798fa03.html'>See</a> |
| 18 | KNeighborsClassifier_kd_tree | fit | 1.169 | 0.012 | 1000000 | 1000000 | 2 | kd_tree | -1 | 1 | NaN | NaN | 0.455 | 0.017 | 2.568 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_fe8267e25dadb302ed498e50fabf7ef4_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 19 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.000 | 1000000 | 1 | 2 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 17.860 | 0.745 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 20 | KNeighborsClassifier_kd_tree | predict | 0.024 | 0.001 | 1000000 | 1000 | 2 | kd_tree | -1 | 1 | 1.0 | 1.0 | 0.001 | 0.000 | 31.909 | 0.215 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_fe8267e25dadb302ed498e50fabf7ef4_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 21 | KNeighborsClassifier_kd_tree | fit | 1.163 | 0.010 | 1000000 | 1000000 | 2 | kd_tree | -1 | 5 | NaN | NaN | 0.454 | 0.019 | 2.563 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_dc74b969bf622bc24ba3bc62c980983b_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 22 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.000 | 1000000 | 1 | 2 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 16.014 | 0.642 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 23 | KNeighborsClassifier_kd_tree | predict | 0.026 | 0.001 | 1000000 | 1000 | 2 | kd_tree | -1 | 5 | 1.0 | 1.0 | 0.001 | 0.000 | 23.815 | 0.093 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_dc74b969bf622bc24ba3bc62c980983b_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 24 | KNeighborsClassifier_kd_tree | fit | 1.163 | 0.010 | 1000000 | 1000000 | 2 | kd_tree | -1 | 100 | NaN | NaN | 0.452 | 0.016 | 2.575 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_022f7445d43bb1dbc24dc3106c03cb93_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 25 | KNeighborsClassifier_kd_tree | predict | 0.002 | 0.000 | 1000000 | 1 | 2 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.000 | 0.000 | 12.612 | 0.473 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 26 | KNeighborsClassifier_kd_tree | predict | 0.044 | 0.001 | 1000000 | 1000 | 2 | kd_tree | -1 | 100 | 1.0 | 1.0 | 0.006 | 0.001 | 7.055 | 0.013 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_022f7445d43bb1dbc24dc3106c03cb93_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 27 | KNeighborsClassifier_kd_tree | fit | 1.180 | 0.012 | 1000000 | 1000000 | 2 | kd_tree | 1 | 1 | NaN | NaN | 0.456 | 0.013 | 2.587 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a9455565db1d8e052a783317c99744ff_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 28 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 2 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.000 | 0.000 | 4.394 | 0.568 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 29 | KNeighborsClassifier_kd_tree | predict | 0.023 | 0.001 | 1000000 | 1000 | 2 | kd_tree | 1 | 1 | 1.0 | 1.0 | 0.001 | 0.000 | 29.732 | 0.150 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a9455565db1d8e052a783317c99744ff_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 30 | KNeighborsClassifier_kd_tree | fit | 1.173 | 0.010 | 1000000 | 1000000 | 2 | kd_tree | 1 | 5 | NaN | NaN | 0.460 | 0.015 | 2.552 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_84622ba45e941db642965553529e1941_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 31 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 2 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.000 | 0.000 | 5.317 | 0.867 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 32 | KNeighborsClassifier_kd_tree | predict | 0.026 | 0.001 | 1000000 | 1000 | 2 | kd_tree | 1 | 5 | 1.0 | 1.0 | 0.001 | 0.000 | 23.946 | 0.097 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_84622ba45e941db642965553529e1941_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 33 | KNeighborsClassifier_kd_tree | fit | 1.172 | 0.012 | 1000000 | 1000000 | 2 | kd_tree | 1 | 100 | NaN | NaN | 0.457 | 0.016 | 2.563 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_41accfcdcd5c50784bedf6164b63de99_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 34 | KNeighborsClassifier_kd_tree | predict | 0.001 | 0.000 | 1000000 | 1 | 2 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.000 | 0.000 | 5.242 | 0.785 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
| 35 | KNeighborsClassifier_kd_tree | predict | 0.051 | 0.003 | 1000000 | 1000 | 2 | kd_tree | 1 | 100 | 1.0 | 1.0 | 0.006 | 0.001 | 8.291 | 0.012 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_41accfcdcd5c50784bedf6164b63de99_4ce588ed31896f6cfe33968c228fa691.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| algorithm | kd_tree |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | algorithm | init | max_iter | n_clusters | n_init | tol | n_iter_sklearn | adjusted_rand_score_sklearn | n_iter_daal4py | adjusted_rand_score_daal4py | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans | fit | 0.011 | 0.002 | 10000 | 10000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | 19.0 | NaN | 30.0 | NaN | 0.005 | 0.002 | 2.152 | 0.217 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 1 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.044 | 0.800 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 2 | KMeans | predict | 0.000 | 0.000 | 10000 | 1000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.895 | 0.585 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 3 | KMeans | fit | 0.281 | 0.007 | 10000 | 10000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.098 | 0.009 | 2.874 | 0.008 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 4 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.868 | 0.730 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 5 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.043 | 0.120 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 6 | KMeans | fit | 0.007 | 0.001 | 10000 | 10000 | 2 | full | random | 30 | 3 | 1 | 0.0 | 17.0 | NaN | 30.0 | NaN | 0.004 | 0.001 | 1.735 | 0.032 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 7 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.570 | 0.638 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 8 | KMeans | predict | 0.000 | 0.000 | 10000 | 1000 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.810 | 0.579 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 9 | KMeans | fit | 0.107 | 0.002 | 10000 | 10000 | 2 | full | random | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.041 | 0.000 | 2.577 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 10 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.972 | 0.672 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 11 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.055 | 0.109 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_e85079d9cfacc46cd6649e2b27d93332.html'>See</a> |
| 12 | KMeans | fit | 0.116 | 0.015 | 10000 | 10000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.017 | 0.001 | 6.879 | 0.022 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 13 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.059 | 0.766 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 14 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.183 | 0.291 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 15 | KMeans | fit | 0.710 | 0.020 | 10000 | 10000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | 19.0 | NaN | 18.0 | NaN | 0.314 | 0.017 | 2.260 | 0.004 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 16 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.202 | 0.463 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 17 | KMeans | predict | 0.003 | 0.002 | 10000 | 1000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 2.817 | 0.445 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 18 | KMeans | fit | 0.045 | 0.001 | 10000 | 10000 | 100 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.015 | 0.001 | 2.974 | 0.003 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 19 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.011 | 0.600 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 20 | KMeans | predict | 0.001 | 0.000 | 10000 | 1000 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.132 | 0.397 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 21 | KMeans | fit | 0.236 | 0.024 | 10000 | 10000 | 100 | full | random | 30 | 300 | 1 | 0.0 | 29.0 | NaN | 24.0 | NaN | 0.157 | 0.021 | 1.500 | 0.028 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 22 | KMeans | predict | 0.000 | 0.000 | 10000 | 1 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.412 | 0.542 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 23 | KMeans | predict | 0.008 | 0.001 | 10000 | 1000 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 7.360 | 0.052 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_ef0c5a9e8916bf847cef5cd21d1aa6dd.html'>See</a> |
| 24 | KMeans | fit | 0.576 | 0.005 | 1000000 | 1000000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.402 | 0.020 | 1.434 | 0.002 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 25 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.263 | 0.834 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 26 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1000 | 2 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.991 | 0.630 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 27 | KMeans | fit | 30.045 | 0.000 | 1000000 | 1000000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 8.200 | 0.005 | 3.664 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 28 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.950 | 0.812 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 29 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 2 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.053 | 0.144 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 30 | KMeans | fit | 0.492 | 0.008 | 1000000 | 1000000 | 2 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 0.363 | 0.018 | 1.356 | 0.003 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 31 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.600 | 0.813 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 32 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1000 | 2 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.642 | 0.656 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 33 | KMeans | fit | 10.152 | 0.010 | 1000000 | 1000000 | 2 | full | random | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 2.795 | 0.010 | 3.633 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 34 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.532 | 0.663 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 35 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 2 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 1.104 | 0.141 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_d82c6aa0e24b54b06dcaa8d2d01a162f.html'>See</a> |
| 36 | KMeans | fit | 6.409 | 0.114 | 1000000 | 1000000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 3.137 | 0.015 | 2.043 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_9a474b3f82d9a6d1e1d7aa2ee4c803a0_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 37 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.048 | 0.617 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 38 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 100 | full | k-means++ | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 2.228 | 0.351 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_9a474b3f82d9a6d1e1d7aa2ee4c803a0_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 39 | KMeans | fit | 101.989 | 0.000 | 1000000 | 1000000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 45.609 | 0.000 | 2.236 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f449ed38cce17d6d59193092d5379936_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 40 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.752 | 0.598 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 41 | KMeans | predict | 0.005 | 0.003 | 1000000 | 1000 | 100 | full | k-means++ | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 4.386 | 0.405 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f449ed38cce17d6d59193092d5379936_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 42 | KMeans | fit | 5.759 | 0.018 | 1000000 | 1000000 | 100 | full | random | 30 | 3 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 3.011 | 0.032 | 1.913 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_ec2f2d2e5e2eb5881e2e08915f1f289b_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 43 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.574 | 0.752 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 44 | KMeans | predict | 0.001 | 0.000 | 1000000 | 1000 | 100 | full | random | 30 | 3 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.937 | 0.355 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_ec2f2d2e5e2eb5881e2e08915f1f289b_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 45 | KMeans | fit | 28.143 | 0.015 | 1000000 | 1000000 | 100 | full | random | 30 | 300 | 1 | 0.0 | 30.0 | NaN | 30.0 | NaN | 18.482 | 0.008 | 1.523 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_a4e5137c99ac1ad5f99c6f222460f561_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 46 | KMeans | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.000 | 0.000 | 1.666 | 0.494 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
| 47 | KMeans | predict | 0.002 | 0.001 | 1000000 | 1000 | 100 | full | random | 30 | 300 | 1 | 0.0 | NaN | 1.0 | NaN | 1.0 | 0.001 | 0.000 | 2.122 | 0.237 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_a4e5137c99ac1ad5f99c6f222460f561_4873c66e53c7dee3b9642c5bafb5db67.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| algorithm | full |
| max_iter | 30 |
| n_init | 1 |
| tol | 0.0 |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | C | class_weight | dual | fit_intercept | intercept_scaling | l1_ratio | max_iter | multi_class | n_jobs | penalty | random_state | solver | tol | verbose | warm_start | n_iter | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 10.994 | 0.097 | 1000000 | 1000000 | 100 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | [20] | 11.028 | 0.094 | 0.997 | 0.000 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f11be2529b0a77bc8fb5ee8de141e6b2_c5fdb575b370d3fe0ae44cf1690bcfb1.html'>See</a> |
| 1 | LogisticRegression | predict | 0.000 | 0.000 | 1000000 | 1 | 100 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.000 | 0.000 | 0.466 | 1.552 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_c5fdb575b370d3fe0ae44cf1690bcfb1.html'>See</a> |
| 2 | LogisticRegression | predict | 0.000 | 0.000 | 1000000 | 1000 | 100 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.000 | 0.000 | 0.981 | 0.419 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_c5fdb575b370d3fe0ae44cf1690bcfb1.html'>See</a> |
| 3 | LogisticRegression | fit | 0.748 | 0.021 | 1000 | 1000 | 10000 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | [26] | 0.748 | 0.020 | 1.001 | 0.001 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_f11be2529b0a77bc8fb5ee8de141e6b2_a4ea4358bc870ac0ef6a8b403f49c4ca.html'>See</a> |
| 4 | LogisticRegression | predict | 0.000 | 0.000 | 1000 | 1 | 10000 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.001 | 0.000 | 0.111 | 0.856 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_a4ea4358bc870ac0ef6a8b403f49c4ca.html'>See</a> |
| 5 | LogisticRegression | predict | 0.002 | 0.000 | 1000 | 100 | 10000 | 1.0 | NaN | False | True | 1 | NaN | 100 | auto | NaN | l2 | NaN | lbfgs | 0.0 | 0 | False | NaN | 0.003 | 0.000 | 0.563 | 0.082 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_f11be2529b0a77bc8fb5ee8de141e6b2_a4ea4358bc870ac0ef6a8b403f49c4ca.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| penalty | l2 |
| dual | False |
| tol | 0.0001 |
| C | 1.0 |
| fit_intercept | True |
| intercept_scaling | 1 |
| class_weight | NaN |
| random_state | NaN |
| solver | lbfgs |
| max_iter | 100 |
| multi_class | auto |
| verbose | 0 |
| warm_start | False |
| n_jobs | NaN |
| l1_ratio | NaN |
| estimator | function | mean_sklearn | stdev_sklearn | n_samples_train | n_samples | n_features | alpha | copy_X | fit_intercept | max_iter | normalize | random_state | solver | tol | n_iter | mean_daal4py | stdev_daal4py | speedup | stdev_speedup | profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 0.034 | 0.002 | 1000 | 1000 | 1000 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.019 | 0.001 | 1.768 | 0.006 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_3bb02a1188eee1cdf3bfd0c2d57fd304_df66213c5388dbfe0e8eecb90f7b3609.html'>See</a> |
| 1 | Ridge | predict | 0.000 | 0.000 | 1000 | 1 | 1000 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.652 | 1.339 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_df66213c5388dbfe0e8eecb90f7b3609.html'>See</a> |
| 2 | Ridge | predict | 0.000 | 0.000 | 1000 | 100 | 1000 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.642 | 0.770 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_df66213c5388dbfe0e8eecb90f7b3609.html'>See</a> |
| 3 | Ridge | fit | 0.007 | 0.001 | 10000 | 10000 | 100 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.002 | 0.000 | 2.801 | 0.049 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_fit_3bb02a1188eee1cdf3bfd0c2d57fd304_03fc9030cf245327135773e50bf5cf0a.html'>See</a> |
| 4 | Ridge | predict | 0.000 | 0.000 | 10000 | 1 | 100 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.669 | 1.388 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_03fc9030cf245327135773e50bf5cf0a.html'>See</a> |
| 5 | Ridge | predict | 0.000 | 0.000 | 10000 | 1000 | 100 | 1.0 | True | True | NaN | False | NaN | auto | 0.001 | NaN | 0.000 | 0.000 | 0.573 | 0.630 | <a href='https://mbatoul.github.io/sklearn_benchmarks/results/home/runner/work/sklearn_benchmarks/sklearn_benchmarks/results/profiling/sklearn_predict_3bb02a1188eee1cdf3bfd0c2d57fd304_03fc9030cf245327135773e50bf5cf0a.html'>See</a> |
Shared hyperparameters:
| value | |
|---|---|
| alpha | 1.0 |
| fit_intercept | True |
| normalize | False |
| copy_X | True |
| max_iter | NaN |
| tol | 0.001 |
| solver | auto |
| random_state | NaN |